Wireless Communication Cryptography Methods Based on Soft Computing

The goal of this proposed work is to make wireless communication systems more secure by developing a cryptographic key exchange protocol that uses a synchronisation technique based on soft computing to generate the same session key at the sender and receiver, rather than exchanging the whole key. In this case, the partners gain by interacting with each other, making it almost impossible for a passive attacker to figure out the produced key in time. With the use of a synchronised session key on both ends, this synchronised network may encrypt the plaintext using any lightweight encryption/decryption mechanism, allowing for message exchange. Another option is to use grouped synchronisation, which would involve bringing together many parties to create a synchronised grouped session key. To demonstrate the cryptographic technology, this study uses a lightweight soft computing based message encryption method as an example. Before being sent to the recipient, encrypted content undergoes additional encryption using a synchronised session key. When decrypting, the receiver keeps the same synchronised session key as when doing the first set of operations; the results of this are then processed using the message decryption approach, which is the exact opposite of message encryption; and finally, the plaintext is created. In order to guarantee the highest degree of security, the suggested model may include additional dimensions. It is pointless to compromise security for the sake of speed on lightweight devices with poor processing capabilities or restricted computing capacity in wireless communication, and the paradigm works well for system security when unified computing is a crucial component.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ised63599.2024.10957163
Primary Topic
Advanced Data Compression Techniques
Type
article
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article

Wireless Communication Cryptography Methods Based on Soft Computing

Digambar Wakde, Sanjay M. Asutkar, Kartik Ingole, Syed Ahad Murtaza Alvi et al.
Advanced Data Compression Techniques
article

Wireless Communication Cryptography Methods Based on Soft Computing

Digambar Wakde, Sanjay M. Asutkar, Kartik Ingole, Syed Ahad Murtaza Alvi, Jyotsna Thakre, Surbhi Girde
article en

Abstract

The goal of this proposed work is to make wireless communication systems more secure by developing a cryptographic key exchange protocol that uses a synchronisation technique based on soft computing to generate the same session key at the sender and receiver, rather than exchanging the whole key. In this case, the partners gain by interacting with each other, making it almost impossible for a passive attacker to figure out the produced key in time. With the use of a synchronised session key on both ends, this synchronised network may encrypt the plaintext using any lightweight encryption/decryption mechanism, allowing for message exchange. Another option is to use grouped synchronisation, which would involve bringing together many parties to create a synchronised grouped session key. To demonstrate the cryptographic technology, this study uses a lightweight soft computing based message encryption method as an example. Before being sent to the recipient, encrypted content undergoes additional encryption using a synchronised session key. When decrypting, the receiver keeps the same synchronised session key as when doing the first set of operations; the results of this are then processed using the message decryption approach, which is the exact opposite of message encryption; and finally, the plaintext is created. In order to guarantee the highest degree of security, the suggested model may include additional dimensions. It is pointless to compromise security for the sake of speed on lightweight devices with poor processing capabilities or restricted computing capacity in wireless communication, and the paradigm works well for system security when unified computing is a crucial component.

Nagpur Institute of Technology (IN), JDSU (United States) (US)
Openalex Percentile: Top 71%
Advanced Data Compression Techniques
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